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Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer

Oct 14, 2020
Chen Zhu, Zheng Xu, Ali Shafahi, Manli Shu, Amin Ghiasi, Tom Goldstein


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Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training

May 30, 2020
Zheng Xu, Ali Shafahi, Tom Goldstein


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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Adversarial Training for Free!

Apr 29, 2019
Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein


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The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent

Apr 15, 2019
Karthik A. Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein


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Universal Adversarial Training

Nov 27, 2018
Ali Shafahi, Mahyar Najibi, Zheng Xu, John Dickerson, Larry S. Davis, Tom Goldstein


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Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays

Jul 16, 2018
Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang

* 10 pages. Accepted by the ACM BCB 2018 

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Accurate and efficient video de-fencing using convolutional neural networks and temporal information

Jun 28, 2018
Chen Du, Byeongkeun Kang, Zheng Xu, Ji Dai, Truong Nguyen


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Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer

May 25, 2018
Zheng Xu, Michael Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin


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The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing

May 08, 2018
Zheng Xu, Xitong Yang, Xue Li, Xiaoshuai Sun


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Learning to Cluster for Proposal-Free Instance Segmentation

Mar 17, 2018
Yen-Chang Hsu, Zheng Xu, Zsolt Kira, Jiawei Huang


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Visualizing the Loss Landscape of Neural Nets

Mar 05, 2018
Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer, Tom Goldstein


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Stabilizing Adversarial Nets With Prediction Methods

Feb 08, 2018
Abhay Yadav, Sohil Shah, Zheng Xu, David Jacobs, Tom Goldstein

* Accepted at ICLR 2018 

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Training Quantized Nets: A Deeper Understanding

Nov 13, 2017
Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein

* NIPS 2017 

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Group-driven Reinforcement Learning for Personalized mHealth Intervention

Aug 14, 2017
Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Junzhou Huang


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Adaptive ADMM with Spectral Penalty Parameter Selection

Jul 19, 2017
Zheng Xu, Mario A. T. Figueiredo, Tom Goldstein

* AISTATS 2017 

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Adaptive Consensus ADMM for Distributed Optimization

Jun 20, 2017
Zheng Xu, Gavin Taylor, Hao Li, Mario Figueiredo, Xiaoming Yuan, Tom Goldstein

* ICML 2017 

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Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation

Apr 10, 2017
Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein

* CVPR 2017 

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Non-negative Factorization of the Occurrence Tensor from Financial Contracts

Dec 10, 2016
Zheng Xu, Furong Huang, Louiqa Raschid, Tom Goldstein

* NIPS tensor workshop 

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An Empirical Study of ADMM for Nonconvex Problems

Dec 10, 2016
Zheng Xu, Soham De, Mario Figueiredo, Christoph Studer, Tom Goldstein

* NIPS nonconvex workshop 

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Exploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents

Jun 07, 2016
Zheng Xu, Douglas Burdick, Louiqa Raschid


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Training Neural Networks Without Gradients: A Scalable ADMM Approach

May 06, 2016
Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit Patel, Tom Goldstein


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